Impact of concurrency on the performance of a whole exome sequencing pipeline

Impact of concurrency on the performance of a whole exome sequencing pipeline

Background: Current high-throughput technologies—i.e. whole genome sequencing, RNA-Seq, ChIP-Seq, etc.—generate huge amounts of data and their usage gets more widespread with each passing year. Complex analysis pipelines involving several computationally-intensive steps have to be applied on an incr...

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Bibliographic Details
Main Authors: Castellani, G. (Author), Curti, N. (Author), Dall’Olio, D. (Author), Fonzi, E. (Author), Giampieri, E. (Author), Remondini, D. (Author), Sala, C. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Analysis pipeline
Bioinformatics
biology
Chromatin Immunoprecipitation Sequencing
Computational Biology
Computational power
Concurrency
Concurrent execution
Efficiency
Energy and cost savings
high throughput sequencing
High throughput technology
High-Throughput Nucleotide Sequencing
Number of samples
Parallel computing
Parallel strategies
Pipelines
procedures
Scalability
Snakemake
software
Software
Tumors
whole exome sequencing
Whole Exome Sequencing
Whole genome sequencing
Work simplification
workflow
Workflow
Workflow management system
Workflow management systems
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